SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 16511700 of 6439 papers

TitleStatusHype
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation0
Divide and Adapt: Active Domain Adaptation via Customized LearningCode1
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network LearningCode1
MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral ReconstructionCode0
Feed-Forward Source-Free Domain Adaptation via Class Prototypes0
Properties of Discrete Sliced Wasserstein Losses0
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive LearningCode1
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples0
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives0
Causality-oriented robustness: exploiting general noise interventionsCode0
Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuningCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public CloudCode0
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation0
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI0
Dual-level Interaction for Domain Adaptive Semantic SegmentationCode1
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingCode1
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over FunctionsCode1
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data0
Population Expansion for Training Language Models with Private Federated Learning0
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation0
Source-Free Domain Adaptation with Temporal Imputation for Time Series DataCode1
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object SegmentationCode1
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation0
Copy Is All You NeedCode1
A Study on Differentiable Logic and LLMs for EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20230
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering0
Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations0
Uni-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images0
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations0
Unsupervised Domain Adaptation with Deep Neural-NetworkCode0
Advances and Challenges in Meta-Learning: A Technical Review0
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational PathologyCode1
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation0
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology: A Step Closer to Widescale Deployment0
Interactive Learning of Intrinsic and Extrinsic Properties for All-day Semantic SegmentationCode1
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training0
Efficient Domain Adaptation of Sentence Embeddings Using Adapters0
Label-Synchronous Neural Transducer for End-to-End ASR0
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation0
Dense Retrieval Adaptation using Target Domain Description0
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive LearningCode1
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical DomainCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Prompting Diffusion Representations for Cross-Domain Semantic SegmentationCode0
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation0
FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization0
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified